In: Computer Science
Suppose you want to use Naive Bayes to perform document
classification (binary clas-
sification) using the bag of words model where we have D documents
and a total of n
words. How many probabilities would a Naive Bayes classifier need
to learn? Suppose,
your boss says, change the order of sentences in each document and
re-learn the Naive
Bayes classifier, do you expect the learned model to be different?
Briefly explain